• Title/Summary/Keyword: Human activity pattern

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Activity Data Modeling and Visualization Method for Human Life Activity Recognition (인간의 일상동작 인식을 위한 동작 데이터 모델링과 가시화 기법)

  • Choi, Jung-In;Yong, Hwan-Seung
    • Journal of Korea Multimedia Society
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    • v.15 no.8
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    • pp.1059-1066
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    • 2012
  • With the development of Smartphone, Smartphone contains diverse functions including many sensors that can describe users' state. So there has been increased studies rapidly about activity recognition and life pattern recognition with Smartphone sensors. This research suggest modeling of the activity data to classify extracted data in existing activity recognition study. Activity data is divided into two parts: Physical activity and Logical Activity. In this paper, activity data modeling is theoretical analysis. We classified the basic activity(walking, standing, sitting, lying) as physical activity and the other activities including object, target and place as logical activity. After that we suggested a method of visualizing modeling data for users. Our approach will contribute to generalize human's life by modeling activity data. Also it can contribute to visualize user's activity data for existing activity recognition study.

Estimation of Metabolic Rate Estimation for Location-based Human Adaptive Air-conditioner in Smart Home (스마트 홈에서 위치 기반 인간 적응형 냉난방기를 위한 신체 활동량 추정)

  • Kim, Hyun-Hee;Lee, Suk;Lee, Kyung-Chang
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.1
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    • pp.83-89
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    • 2010
  • If an appliance perceives the location or health condition of a resident in the smart home, it can provide more intelligent service actively. That is, while the conventional appliance is operated by manual input of a resident, the location-based human adaptive appliance detects the resident's information such as location, activity pattern, or health condition by itself and provides the most suitable living condition for the resident autonomously. This paper presents the real-time location-based metabolic rate estimation method that measures the amount of physical activity (metabolic rate) for location-based human adaptive air-conditioner. And, the feasibility of the algorithm is evaluated experimentally on a test bed using the pyroelectric infrared sensor-based indoor location aware system (PILAS) that is a non-terminal-based location-aware system.

A Study of Human Gait Discrimination Using Multi-pressure Sensor (다중압력센서를 이용한 보행패턴 추정에 관한 연구)

  • Choi, Dae-Yeong;Kim, Kyung-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.4
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    • pp.673-677
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    • 2016
  • In this study, In order to measure foot pressure, it makes analyzing device using multi-pressure sensor. This device was limited frequency band to 5Hz by using low-pass filter and MCU was detected signal every milliseconds. After wearing the device, the result was confirmed by blue-tooth to measure wirelessly. Also, we propose an algorithm to obtain the walking pattern using a time table in each of the detected peak from the pressure sensor. Using the algorithm, right walking pattern and abnormal pattern was detected. The results can be reflected more individual walking patterns than when using a conventional methods and also, developed device was no restriction on the human activity.

Assessment of Time Activity Pattern for Workers (직장인의 시간활동 양상 평가)

  • Lee, Hyun-Soo;Shuai, Jianfei;Woo, Byung-Lyul;Hwang, Moon-Young;Park, Choong-Hee;Yu, Seung-Do;Yang, Won-Ho
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.20 no.2
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    • pp.102-110
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    • 2010
  • Personal exposure relies on characteristics of time activity patterns of the population of concern as human activities impact the timing, location, and level of personal exposure. The information about time spent in microenvironments plays a critical role for personal exposure to air pollutants. It is useful to determine the precise times of the day that the subjects are in certain locations or engaging in specific activities because exposure to some air pollutants can depend on temporal trends. This study investigated time activity pattern for workers of Korean population over 19 years old with 8,778 workers in weekday. The residential indoor times were 12 hours. Time activity was different by gender and the mean times stayed at home in weekday were 12.9 hours in female and 11.42 hours in male, respectively. The major factors on residential indoor time and workplace time were age, monthly income, occupation and industry type, work position, education, and gender. Considering shorter than those in other countries, Korean workers spent less time at home after the working hours. Determinants of time activity pattern need to be taken into account in exposure assessment, epidemiological analyses, exposure simulations, as well as in the development of preventive strategies. Since there are substantial difference of Korean worker activity pattern, this information can be critical for exposure assessment in Korea.

An Analysis of the Using Pattern of Leisure Time for Elderly (노인의 여가생활시간 소비패턴분석)

  • Lee Yoon-Jung;Joung Soon-Hee
    • Journal of Family Resource Management and Policy Review
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    • v.8 no.1
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    • pp.101-116
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    • 2004
  • This study analyze using pattern of the Korean elderly leisure time to know their leisure lifestyle. In order to do this study, we analysed the time use dairy which were collected by Korean National Statistical Office in 1999 and analysis of data was done through mean of time, percentage of acting people hourly. The result of this study were as follows : 1) The elderly spend leisure time average 6 hours 34 minute in a day and enjoy leisure activities from A.M. 11:00 to P.M. 12:00 and from P.M. 8:00 to P.M:. 10:00 mainly. 2) The elderly spend leisure time for acquaintance, using mass media, sports leisure activity and dilettante life. Especially the elderly associate with more others than their family, use more TV than others and spend time for break and amusement as dilettante life.

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A Study on the Effect of Acupuncture on Anesthesia and the Mode of Action (The First Report) - Focused on Brain Mapping - (자침(刺鍼)이 마취(痲醉)에 미치는 작용기전(作用機轉) 연구(硏究) (제(第) 1 보(報)) - 뇌파를 중심으로 -)

  • Park, Hee-soo;Park, Kyoung-sik
    • Journal of Acupuncture Research
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    • v.19 no.4
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    • pp.132-139
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    • 2002
  • This study was carried to identify whether acupuncture at several meridian points can affect the human anesthesia or not using the EEG mapping. We observe the change in the brain wave patterns obtained by electroencephalogram after acupuncture. 1. It is concluded that the pattern of resting computerized EEG map in intact human is normal and acupunctuation at determined meridian points induced lesser narrow field of alpha activity, more extensive field of ${\delta}$, ${\theta}$ activity, father resulted in marked shift to cerebrofrontal dominance in field of ${\delta}$, ${\theta}$ activity by t-SPM. 2. It seems likely that acupunctuation at experimental meridian points acts on slight anesthesia or hypnosis.

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Development of Activity Pattern Analysis and its Application to the Health Check-up Service Organization (활동패턴분석방법론의 개발과 적용 : 종합건강검진서비스 적용사례를 중심으로)

  • Moon, Jae Ung;Ahn, Joong Ho
    • The Journal of Society for e-Business Studies
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    • v.18 no.3
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    • pp.69-92
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    • 2013
  • Activity Pattern Analysis(APA) is the methodology to Design the functions of information systems, to Estimate the monetary value of IS based on Activity Based Costing, to Acquire feasibility of IT Project. This study shows APA case in Health Check-up Service Organization (G-Center) and the Utility of APA. G-Center had acquired Five Outcomes through APA: (1) IT Strategy, (2) IT Project Goals, (3) Transformed Business Process, (4) Functional Blueprint of Information Systems, (5) IT Project budget and its feasibility. APA consists of three analysis processes; Activity Separation, Activity Rearrangement, Activity Costing. APA is flexible in determinating the range and the time of analysis, and is able to expand the Actors(as analysis objects) based on the purpose of analysis by researcher. Eventually APA can be used to do internal IT Management effectively.

Navigator Lookout Activity Classification Using Wearable Accelerometers

  • Youn, Ik-Hyun;Youn, Jong-Hoon
    • Journal of information and communication convergence engineering
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    • v.15 no.3
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    • pp.182-186
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    • 2017
  • Maintaining a proper lookout activity routine is integral to preventing ship collision accidents caused by human errors. Various subjective measures such as interviewing, self-report diaries, and questionnaires have been widely used to monitor the lookout activity patterns of navigators. An objective measurement of a lookout activity pattern classification system is required to improve lookout performance evaluation in a real navigation setting. The purpose of this study was to develop an objective navigator lookout activity classification system using wearable accelerometers. In the training session, 90.4% accuracy was achieved in classifying five fundamental lookout activities. The developed model was then applied to predict real-lookout activity in the second session during an actual ship voyage. 86.9% agreement was attained between the directly observed activity and predicted activity. Based on these promising results, the proposed unobstructed wearable system is expected to objectively evaluate navigator lookout patterns to provide a better understanding of lookout performance.

Development of an Algorithm for Wearable sensor-based Situation Awareness Recognition System for Mariners (해양사고 절감을 위한 웨어러블 센서 기반 항해사 상황인지 인식 기법 개발)

  • Hwang, Taewoong;Youn, Ik-Hyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.395-397
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    • 2019
  • Despite technical advance, human error is the main reason for maritime accidents. To ensure a safety of maritime transporting environment, technical and methodological improvement to react to various types of maritime accidents should be developed instead of ambiguously anticipating maritime accidents due to human errors. Survey, questionnaires, and interview have been routinely applied to understand objective human lookout pattern differences in various navigational situations. Although the descriptive methodology helps systematically categorizing different patterns of human behavior to avoid accidents, the subjective methods limit to objectively recognize physical behavior patterns during navigation. The purpose of the study is to develop an objective lookout pattern detection system using wearable sensors in the simulated navigation environment. In the simulated maritime navigation environment, each participant performed a given navigational situation by wearing the wearable sensors on the wrist, trunk, and head. Activity classification algorithm that was developed in the previous navigation activity classification research was applied. The physical lookout behavior patterns before and after situation-aware showed distinctive patterns, and the results are expected to reduce human errors of navigators.

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Therapeutic Approach for Stroke Patients based on Central Pattern Generator (중추유형발생기에 근거한 뇌졸중 환자의 치료적 접근)

  • Kim Joong-Hwi;Kim Chung-Sun
    • The Journal of Korean Physical Therapy
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    • v.14 no.4
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    • pp.131-146
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    • 2002
  • In the last years, it has become possible to regain some locomotor activity in patients with incomplete spinal cord injury (SCI) through intense training on a treadmill. The ideas behind this approach owe much to insights derived from animal studies. Many studies showed that cats with complete spinal cord transection(spinalized animals) can recover locomotor function. These observations were at the basis of the concept of the central pattern generator located at spinal level. The neural system responsible for the locomotor restoration in both cats and humans is thought to be located at spinal level and is referred to as the central pattern generator(CPG). The evidence for such a spinal CPG in human is emphasis on some recent developments which support the view that there is a human spinal CPG for locomotion. An important element in afferent inputs for both spinal injured cats and humans is the provision of adequate sensory input related locomotor, which can possibly activate and/or regulate the spinal locomotor circuitry This review article deals with the afferent control of the central pattern generator. Furthermore, the application of adequate afferent inputs related locomotor for stroke patients will be able to facilitate locomotion ability, which is automatic, cyclic, rhythmic. These insights can possibly contribute to a better therapeutic approach for the rehabilitation of gait in patients with stroke.

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